A Bayesian approach to model velocity fields and mass flow rates

Bibliographic Details
Main Author: Cardoso, Ricardo
Publication Date: 2023
Other Authors: Cavaleiro Costa, Sérgio, Casaca, Cláudia, Carvalho, Alda, Malico, Isabel
Format: Conference object
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/35864
Summary: With the present work, one aims to study the effects of a jet impinging on an obstacle at a closed car park, which is described by a representative zone with an impulse jet fan and an obstacle. In this study, the flow velocity at two critical heights (1.2 m and 1.8 m) is considered a proxy for measuring the risk to car park occupants in case of fire. To capture the problematic conditions due to the obstacle, a mixture of two probabilistic models was used to simulate a set of jet fan to obstacle distances and jet fan outlet angles. This generated 34 conditions that were simulated using a computational fluid dynamics model. The isothermal incompressible turbulent velocity fields and mass flow rates in zones of interest were investigated. The statistical model was implemented using STAN and is a Bayesian multiple linear regression to estimate velocity fields and mass flow rates.
id RCAP_523d3c8fbf7d1ccc25058e856e3ef24b
oai_identifier_str oai:dspace.uevora.pt:10174/35864
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A Bayesian approach to model velocity fields and mass flow ratesJet FanCar Park FiresObstructionsBayesian modelsWith the present work, one aims to study the effects of a jet impinging on an obstacle at a closed car park, which is described by a representative zone with an impulse jet fan and an obstacle. In this study, the flow velocity at two critical heights (1.2 m and 1.8 m) is considered a proxy for measuring the risk to car park occupants in case of fire. To capture the problematic conditions due to the obstacle, a mixture of two probabilistic models was used to simulate a set of jet fan to obstacle distances and jet fan outlet angles. This generated 34 conditions that were simulated using a computational fluid dynamics model. The isothermal incompressible turbulent velocity fields and mass flow rates in zones of interest were investigated. The statistical model was implemented using STAN and is a Bayesian multiple linear regression to estimate velocity fields and mass flow rates.Eccomas2024-01-08T11:35:26Z2024-01-082023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/35864http://hdl.handle.net/10174/35864engCardoso, R., Cavaleiro Costa, S., Casaca, C., Malico, I., Carvalho, A., (2023). (Abstract). A Bayesian approach to model velocity fields and mass flow rates. 6th International Conference on Numerical and Symbolic Computation. Developments and Applications – SYMCOMP 2023, Évora, Portugal, 30-31 March, pp. 125.simnaonaoa46157@alunos.isel.ptsmcac@uevora.ptclaudia.casaca@isel.ptalda.carvalho@uab.ptimbm@uevora.pt286Cardoso, RicardoCavaleiro Costa, SérgioCasaca, CláudiaCarvalho, AldaMalico, Isabelinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-09T01:47:08Zoai:dspace.uevora.pt:10174/35864Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:31:59.378532Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Bayesian approach to model velocity fields and mass flow rates
title A Bayesian approach to model velocity fields and mass flow rates
spellingShingle A Bayesian approach to model velocity fields and mass flow rates
Cardoso, Ricardo
Jet Fan
Car Park Fires
Obstructions
Bayesian models
title_short A Bayesian approach to model velocity fields and mass flow rates
title_full A Bayesian approach to model velocity fields and mass flow rates
title_fullStr A Bayesian approach to model velocity fields and mass flow rates
title_full_unstemmed A Bayesian approach to model velocity fields and mass flow rates
title_sort A Bayesian approach to model velocity fields and mass flow rates
author Cardoso, Ricardo
author_facet Cardoso, Ricardo
Cavaleiro Costa, Sérgio
Casaca, Cláudia
Carvalho, Alda
Malico, Isabel
author_role author
author2 Cavaleiro Costa, Sérgio
Casaca, Cláudia
Carvalho, Alda
Malico, Isabel
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cardoso, Ricardo
Cavaleiro Costa, Sérgio
Casaca, Cláudia
Carvalho, Alda
Malico, Isabel
dc.subject.por.fl_str_mv Jet Fan
Car Park Fires
Obstructions
Bayesian models
topic Jet Fan
Car Park Fires
Obstructions
Bayesian models
description With the present work, one aims to study the effects of a jet impinging on an obstacle at a closed car park, which is described by a representative zone with an impulse jet fan and an obstacle. In this study, the flow velocity at two critical heights (1.2 m and 1.8 m) is considered a proxy for measuring the risk to car park occupants in case of fire. To capture the problematic conditions due to the obstacle, a mixture of two probabilistic models was used to simulate a set of jet fan to obstacle distances and jet fan outlet angles. This generated 34 conditions that were simulated using a computational fluid dynamics model. The isothermal incompressible turbulent velocity fields and mass flow rates in zones of interest were investigated. The statistical model was implemented using STAN and is a Bayesian multiple linear regression to estimate velocity fields and mass flow rates.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01T00:00:00Z
2024-01-08T11:35:26Z
2024-01-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/35864
http://hdl.handle.net/10174/35864
url http://hdl.handle.net/10174/35864
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cardoso, R., Cavaleiro Costa, S., Casaca, C., Malico, I., Carvalho, A., (2023). (Abstract). A Bayesian approach to model velocity fields and mass flow rates. 6th International Conference on Numerical and Symbolic Computation. Developments and Applications – SYMCOMP 2023, Évora, Portugal, 30-31 March, pp. 125.
sim
nao
nao
a46157@alunos.isel.pt
smcac@uevora.pt
claudia.casaca@isel.pt
alda.carvalho@uab.pt
imbm@uevora.pt
286
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Eccomas
publisher.none.fl_str_mv Eccomas
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833592902117228544

Similar Items